heatmaply(net, scale="column")
#interaction matrix plot
visweb(net, type="nested", circles=T, boxes=F, circle.max=1.2)
#interaction web plot
plotweb(net, text.rot=90, method="cca", col.high=pal[2], col.low=pal[1], col.interaction=pal[3])
networklevel(net)
connectance web asymmetry
0.06312657 0.63106796
links per species number of compartments
1.95631068 2.00000000
compartment diversity cluster coefficient
1.07901412 0.02631579
nestedness weighted nestedness
4.48059576 0.58672881
weighted NODF interaction strength asymmetry
10.80348739 0.20372363
specialisation asymmetry linkage density
-0.04424002 3.57255189
weighted connectance Fisher alpha
0.01734248 89.61252715
Shannon diversity interaction evenness
3.27629195 0.37393976
Alatalo interaction evenness H2
0.25285628 0.57919894
number.of.species.HL number.of.species.LL
168.00000000 38.00000000
mean.number.of.shared.partners.HL mean.number.of.shared.partners.LL
0.34944397 1.18776671
cluster.coefficient.HL cluster.coefficient.LL
0.34062967 0.21733898
weighted.cluster.coefficient.HL weighted.cluster.coefficient.LL
0.72421977 0.31277076
niche.overlap.HL niche.overlap.LL
0.12366249 0.14889538
togetherness.HL togetherness.LL
0.03019814 0.02302573
C.score.HL C.score.LL
0.75923950 0.74100046
V.ratio.HL V.ratio.LL
3.23242952 17.02718828
discrepancy.HL discrepancy.LL
248.00000000 250.00000000
extinction.slope.HL extinction.slope.LL
5.03260774 1.60178636
robustness.HL robustness.LL
0.81123903 0.61539429
functional.complementarity.HL functional.complementarity.LL
8044.31456516 7651.23911634
partner.diversity.HL partner.diversity.LL
0.94103312 1.28483306
generality.HL vulnerability.LL
2.67434342 4.47076037